s444420/AL-2020
1
0
Fork 2
Code Issues Pull Requests Releases Wiki Activity

costam

Browse Source
This commit is contained in:
Wojciech Łukasik 2020-06-08 18:21:02 +02:00
parent 8e18c0f39e
commit dceb5bd8d5
9 changed files with 14 additions and 16 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
.idea/misc.xml
View File

@ -3,5 +3,5 @@
<component name="JavaScriptSettings"> <component name="JavaScriptSettings">
<option name="languageLevel" value="ES6" /> <option name="languageLevel" value="ES6" />
</component> </component>
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8 (AL-2020)" project-jdk-type="Python SDK" /> <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7 (AL-2020)" project-jdk-type="Python SDK" />
</project> </project>

2
.idea/wozek.iml
View File

@ -4,7 +4,7 @@
<content url="file://$MODULE_DIR$"> <content url="file://$MODULE_DIR$">
<excludeFolder url="file://$MODULE_DIR$/venv" /> <excludeFolder url="file://$MODULE_DIR$/venv" />
</content> </content>
<orderEntry type="jdk" jdkName="Python 3.8 (AL-2020)" jdkType="Python SDK" /> <orderEntry type="jdk" jdkName="Python 3.7 (AL-2020)" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" /> <orderEntry type="sourceFolder" forTests="false" />
</component> </component>
</module> </module>

BIN
__pycache__/data.cpython-37.pyc
View File

Binary file not shown.

BIN
__pycache__/decision_tree.cpython-37.pyc
View File

Binary file not shown.

22
decision_tree.py
View File

@ -62,15 +62,14 @@ def partition(rows, question):
def gini(rows): def gini(rows):
""" Gini impurity is a measure of how often a randomly chosen element from """ Gini impurity to miara tego jak często losowo wybrany element zbioru byłby źle skategoryzowany, gdyby
the set would be incorrectly labeled if it was randomly labeled according to przypisać mu losową kategorię spośród wszystkich kategorii znajdujących się w danym zbiorze. """
the distribution of labels in the subset. """
counts = class_counts(rows) counts = class_counts(rows)
impurity = 1 impurity = 0
for lbl in counts: for lbl in counts:
prob_of_lbl = counts[lbl] / float(len(rows)) prob_of_lbl = counts[lbl] / float(len(rows))
impurity -= prob_of_lbl ** 2 impurity += prob_of_lbl * (1 - prob_of_lbl)
return impurity return impurity
@ -169,16 +168,15 @@ def print_leaf(counts):
# print_tree(my_tree) # print_tree(my_tree)
# #
# testing_data = [ # testing_data = [
# ['gold', 'rectangle', 50, 'medium', 'Name'], # ['red', 'rectangle', 50, 'medium', 'Kit-kat'],
# ['brown', 'rectangle', 55, 'medium', 'Snickers'], # ['blue', 'rectangle', 115, 'big', 'Wedel'],
# ['white', 'rectangle', 120, 'big', 'Name'] # ['white', 'rectangle', 15, 'small', 'Krowka'],
# ] # ]
# #
# test = ['white', 'rectangle', 120, 'big', 'Name'] # test = ['white', 'rectangle', 15, 'small', 'Krowka']
# #
# # for row in testing_data: # for row in testing_data:
# # print(print_leaf(classify(row, my_tree))) # print(print_leaf(classify(row, my_tree)))
# #
# wynik = print_leaf(classify(test, my_tree))[0] # wynik = print_leaf(classify(test, my_tree))[0]
# print(wynik) # print(wynik)

BIN
environment.yml
View File

Binary file not shown.

BIN
img/shelf.png
View File

Binary file not shown.
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 691 B

After

Width:  |  Height:  |  Size: 849 B

2
main.py
View File

@ -11,6 +11,7 @@ from board import create_board, draw_board
from random import randint, choice from random import randint, choice
from mcda import choseProducts from mcda import choseProducts
# Inicjalizacja programu i utworzenie obiektu ekrany # Inicjalizacja programu i utworzenie obiektu ekrany
def run(): def run():
pygame.init() pygame.init()
@ -44,7 +45,6 @@ def run():
agent.turn_left() agent.turn_left()
elif event.key == pygame.K_UP: elif event.key == pygame.K_UP:
agent.move_forward(board) agent.move_forward(board)
print(agent.x, agent.y)
elif event.key == pygame.K_SPACE: elif event.key == pygame.K_SPACE:
board[9][0].item = choice(data.learning_data) board[9][0].item = choice(data.learning_data)
print("Wybrano: " + board[9][0].item[-1]) print("Wybrano: " + board[9][0].item[-1])